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乳腺病变的动态对比增强磁共振成像:动力学分析对肿块型和非肿块型强化同样有效吗?

DCEMRI of breast lesions: is kinetic analysis equally effective for both mass and nonmass-like enhancement?

作者信息

Jansen Sanaz A, Fan Xiaobing, Karczmar Gregory S, Abe Hiroyuki, Schmidt Robert A, Giger Maryellen, Newstead Gillian M

机构信息

Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, MC2026, Chicago, Illinois 60637, USA.

出版信息

Med Phys. 2008 Jul;35(7):3102-9. doi: 10.1118/1.2936220.

Abstract

To perform a pilot study investigating whether the sensitivity and specificity of kinetic parameters can be improved by considering mass and nonmass breast lesions separately. The contrast media uptake and washout kinetics in benign and malignant breast lesions were analyzed using an empirical mathematical model (EMM), and model parameters were compared in lesions with mass-like and nonmass-like enhancement characteristics. 34 benign and 78 malignant breast lesions were selected for review. Dynamic MR protocol: 1 pre and 5 postcontrast images acquired in the coronal plane using a 3D T1-weighted SPGR with 68 s timing resolution. An experienced radiologist classified the type of enhancement as mass, nonmass, or focus, according to the BI-RADS lexicon. The kinetic curve obtained from a radiologist-drawn region within the lesion was analyzed quantitatively using a three parameter EMM. Several kinetic parameters were then derived from the EMM parameters: the initial slope (Slope(ini)), curvature at the peak (kappa(peak)), time to peak (T(peak)), initial area under the curve at 30 s (iAUC30), and the signal enhancement ratio (SER). The BI-RADS classification of the lesions yielded: 70 mass lesions, 38 nonmass, 4 focus. For mass lesions, the contrast uptake rate (alpha), contrast washout rate (beta), iAUC30, SER, Slope(ini), T(peak) and kappa(peak) differed substantially between benign and malignant lesions, and after correcting for multiple tests of significance SER and T(peak) demonstrated significance (p < 0.007). For nonmass lesions, we did not find statistically significant differences in any of the parameters for benign vs. malignant lesions (p > 0.5). Kinetic parameters could distinguish benign and malignant mass lesions effectively, but were not quite as useful in discriminating benign from malignant nonmass lesions. If the results of this pilot study are validated in a larger trial, we expect that to maximize diagnostic utility, it will be better to classify lesion morphology as mass or nonmass-like enhancement prior to kinetic analysis.

摘要

开展一项初步研究,调查通过分别考虑乳腺实性和非实性病变,动力学参数的敏感性和特异性是否能够得到提高。使用经验数学模型(EMM)分析良性和恶性乳腺病变中的造影剂摄取和洗脱动力学,并比较具有实性样和非实性样强化特征的病变的模型参数。选取34例良性和78例恶性乳腺病变进行回顾性分析。动态磁共振成像方案:采用3D T1加权扰相梯度回波序列在冠状面采集1幅平扫和5幅增强后图像,时间分辨率为68秒。一名经验丰富的放射科医生根据乳腺影像报告和数据系统(BI-RADS)词典将强化类型分类为实性、非实性或点状。使用三参数EMM对从病变内放射科医生绘制的区域获得的动力学曲线进行定量分析。然后从EMM参数中得出几个动力学参数:初始斜率(Slope(ini))、峰值处曲率(kappa(peak))、达峰时间(T(peak))、30秒时曲线下初始面积(iAUC30)以及信号增强率(SER)。病变的BI-RADS分类结果为:70例实性病变、38例非实性病变、4例点状病变。对于实性病变,良性和恶性病变之间的造影剂摄取率(α)、造影剂洗脱率(β)、iAUC30、SER、Slope(ini)、T(peak)和kappa(peak)存在显著差异,在对多重显著性检验进行校正后,SER和T(peak)具有显著性(p < 0.007)。对于非实性病变,良性与恶性病变的任何参数均未发现统计学上的显著差异(p > 0.5)。动力学参数能够有效区分良性和恶性实性病变,但在区分良性和恶性非实性病变方面不太有用。如果这项初步研究的结果在更大规模的试验中得到验证,我们预计为了最大化诊断效用,在进行动力学分析之前将病变形态分类为实性或非实性样强化会更好。

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